Modern Applications of Machine Learning in Shoulder Arthroplasty: A Review

Abstract

» There is increased integration of machine learning (ML) to aid clinical decision-making in orthopaedic surgery.» ML has the ability to predict both clinical outcomes such as range of motion and complications in total shoulder arthroplasty patients.» An increased area of focus is the ability for ML to identify implants to aid in revision surgery planning.» In this article, we review the current applications of ML in shoulder arthroplasty and discuss future areas where it may enhance orthopaedic practice.